Data Analyst

US Office of the Inspector General, USPS

Arlington (VA)

On-site

USD 78,000 - 110,000

Full time

3 days ago
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Job summary

The USPS OIG in Arlington, Virginia is seeking a Data Analyst to support the Research and Insights Solution Center. You will analyze data, create visualizations, and contribute to operational decisions with actionable insights.

Ideal candidates hold a bachelor’s degree and have at least one year of hands-on data work, including dashboards with Power BI or Tableau, SQL queries, and Python for data preparation.

Qualifications

  • Bachelor's degree from an accredited college or university.
  • At least one year of experience extracting, analyzing, and visualizing data to support decision-making.
  • Knowledge of data analytics theories, principles, concepts, methods, and techniques.
  • Experience leveraging Power BI or Tableau to design interactive dashboards and reports.
  • Proficiency in SQL to extract, validate, and analyze complex datasets.
  • Proficiency using Python to clean, manipulate, visualize, and analyze data.
  • Ability to communicate and visualize analytical results to peers, customers, and non-technical stakeholders.

Skills

Data analytics concepts
SQL proficiency
Python scripting
Communication of analyses

Education

Bachelor's degree

Tools

Power BI
Tableau

Job description

The USPS OIG is seeking a highly qualified applicant to fill our Data Analyst position in the Research and Insights Solution Center located in Arlington, Virginia. Bring your skills and voice to our team!

MINIMUM QUALIFICATIONS

You must meet ALL of the minimum qualifications listed below.

  • Bachelor's degree from an accredited college or university.
AND
  • Applicants must have at least one (1) year of experience extracting, analyzing, and visualizing data to support operational, programmatic, or business decision-making.
DESIRABLE QUALIFICATIONS
  • Knowledge and experience with Postal Service processes and related data systems for mail processing, delivery, logistics, or other business functions.
  • Knowledge and experience in the law enforcement, audit, and/or mailing industry.
  • Knowledge of advanced analysis techniques such as natural language processing, predictive analytics, and machine learning model, development, training, evaluation, testing, refinement, deployment, and maintenance.
  • Experience utilizing cloud platforms (e.g., AWS, Azure, GCP) and cloud-based notebook environments (e.g., Databricks, Jupyter, Colab)
EVALUATION FACTORS

You must have the experience, knowledge and skills as listed in EACH of the evaluation factors. Failure to demonstrate that you meet all of the evaluation factor requirements as listed below will result in a score of zero (0); an ineligible status, and you will not be referred for further consideration. Include your major accomplishments relevant to the position requirements in your resume.

  • Knowledge of data analytics theories, principles, concepts, methods, and techniques sufficient to conduct analyses.
  • Experience leveraging business intelligence tools (e.g., Power BI, Tableau) to design, develop, and optimize interactive dashboards, automated reports, and data models.
  • Technical fluency in SQL and relational database architecture to extract, validate, and analyze complex datasets to derive actionable business insights, ensure data quality, and support data-driven decision-making.
  • Proficiency using Python to clean, manipulate, visualize, and analyze structured and unstructured datasets.
  • Ability to communicate and visualize analytical methods and results to peers, customers, and non-technical stakeholders.

You will no longer be considered for this position if you: fail to respond to all of the questions in the self-assessment questionnaire; or receive a zero (0) rating on any evaluation factor.

Failure to demonstrate that you meet all evaluation factor requirements will result in a score of zero (0). Upon receipt of a zero score, you will be deemed "not minimally qualified," and you will not be referred for further consideration.

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